DocumentCode :
945787
Title :
Partitioning: A unifying framework for adaptive systems, II: Control
Author :
Lainiotis, Demetrios G.
Author_Institution :
State University of New York at Buffalo, Amherst, NY
Volume :
64
Issue :
8
fYear :
1976
Firstpage :
1182
Lastpage :
1198
Abstract :
In this paper, partitioning and the associated partitioned adaptive control algorithms are shown to constitute a unifying framework for adaptive control. Moreover, the partitioned adaptive controls (PAC´s) are shown to have several interesting properties as well as a decoupled parallel-processing structure that is computationally attractive. Finally, using the partitioning framework and a related general class of PAC´s the adaptive control problem is treated from a global viewpoint that unifies seemingly unrelated previously obtained suboptimal adaptive controls, and, most importantly, yields fundamentally new adaptive control algorithms. These new control algorithms are shown to have several important properties from both a theoretical and a realization or computational standpoint.
Keywords :
Adaptive control; Adaptive systems; Constraint optimization; Control systems; Design optimization; Mathematical model; Optimal control; Partitioning algorithms; Programmable control; Uncertainty;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/PROC.1976.10289
Filename :
1454558
Link To Document :
بازگشت